ML Engineer

For one of our Clients — a leading marketplace platform operating at large scale and serving millions of active users monthly — we are looking for an experienced Machine Learning Engineer to join a data-driven, product-focused environment.

The company works with massive datasets and advanced ML solutions to improve product discovery, ranking, and recommendations, with a strong focus on business impact and user experience.

You will work on:

• Designing, training, and deploying ranking and recommendation models(e.g. learning-to-rank, collaborative filtering, two-tower recommendation systems)

• Building and optimizing NLP models(text classification, information extraction, embeddings)

• Integrating and using modern ML libraries and frameworks such as Hugging Face Transformers, LangChain, and LangGraph

• Working with large-scale datasets

• Optimizing models for effectiveness, scalability, and performance

• Monitoring ML models in production, continuous evaluation, and iterative improvement

We are looking for someone who:

• Has at least 3 years of experience in building and deploying ML models in production environments

• Has hands-on experience with TensorFlow, PyTorch, Scikit-learn, as well as Hugging Face and LangChain

• Has strong knowledge of NLP, including transformer architectures (e.g. BERT, MiniLM)

• Has worked on recommendation systems, ranking models, and ML optimization driven by business metrics

• Works with JavaScript or TypeScript and builds ML solutions compatible with this tech stack

• Thinks analytically and can critically assess the business impact of deployed models

• Has experience with experimentation and monitoring tools(e.g. MLflow, Neptune, TensorBoard, Prometheus)

• Has experience in cloud environments (GCP, AWS, Azure) and understands the basics ofcontainerization (Docker, Kubernetes)

• Communicates clearly and can explain complex technical topics to non-technical stakeholders

What we offer:

• Long-term cooperation in a stable, product-oriented organization

• 100% remote work (from Poland)

• Work in a product company with real influence on business outcomes

• Participation in large-scale, data-intensive projects

• Opportunity to grow within ML, recommendation systems, and applied AI

📌 Please note: only selected candidates will be contacted.

Recruitment process is conducted by TQLO Sp. z o.o. Registered Employment Agency (KRAZ): 33580